List questions from pseudoinverse

Published on 21 Apr 2015 - 17:20

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Pseudoinverse with positive solutions

Published on 22 Apr 2015 - 19:48

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Different Inverse Approach

Published on 26 Apr 2015 - 7:58

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Uniqueness of pseudoinverse?

Published on 26 Apr 2015 - 16:38

203

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Reverse Order Laws of M-P pseudoinverse

Published on 12 May 2015 - 6:30

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Moore–Penrose Pseudoinverse of Squared Matrix Product

Published on 14 May 2015 - 14:10

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Representation of the Orthogonal Projection

Published on 14 May 2015 - 14:33

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Let $A = FHG$ where $F$ has full column rank and $G$ has full row rank. Show that $rank(A) = rank(H)$

Published on 16 May 2015 - 21:11

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Is there a way to obtain $A^+$ if we know $A$ and $P=AA^+$

Published on 17 May 2015 - 15:53

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Conditional Inverse: Find set of solutions for $AXA=A, A:=\left(1_N-\alpha\iota_N '\right)$.

Published on 18 May 2015 - 8:52

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Proof: If $ A \iota_N=0\Rightarrow A^{+'}\iota_N=0$

Published on 18 May 2015 - 12:59

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Pseudoinverse of $KXK$, $K=\left(\begin{array}{cc}1_{N-1}& 0 \\ 0 & 0\end{array} \right)$Pseudoinverse of $KXK$, K=

Published on 20 May 2015 - 9:52

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Solution to an apparently simple Optimization Problem

Published on 22 May 2015 - 0:01

920

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Least squares and pseudo-inverse

Published on 22 May 2015 - 23:28

59

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Inverse of $R^T D R$ where $R$: rectangular and $D$: diagonal

Published on 31 May 2015 - 5:30

List Question

Pseudoinverse - Interpretation

Pseudoinverse with positive solutions

Different Inverse Approach

Uniqueness of pseudoinverse?

Reverse Order Laws of M-P pseudoinverse

Moore–Penrose Pseudoinverse of Squared Matrix Product

Representation of the Orthogonal Projection

Let $A = FHG$ where $F$ has full column rank and $G$ has full row rank. Show that $rank(A) = rank(H)$

Is there a way to obtain $A^+$ if we know $A$ and $P=AA^+$

Conditional Inverse: Find set of solutions for $AXA=A, A:=\left(1_N-\alpha\iota_N '\right)$.

Proof: If $ A \iota_N=0\Rightarrow A^{+'}\iota_N=0$

Pseudoinverse of $KXK$, $K=\left(\begin{array}{cc}1_{N-1}& 0 \\ 0 & 0\end{array} \right)$Pseudoinverse of $KXK$, K=

Solution to an apparently simple Optimization Problem

Least squares and pseudo-inverse

Inverse of $R^T D R$ where $R$: rectangular and $D$: diagonal

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